Tran Van Phat - Embedded intern
Phone: 037******* / Email: **************@*****.***
INTRODUCTION
_I am a Final-year Computer Engineering student with expertise in Embedded Systems and IoT. Passionate about developing firmware for real-time applications and optimizing AI models for edge devices. Seeking to leverage my skills in C/C++, Python and hardware communication to contribute to my project. EDUCATION
_VNUHCM - University of Information Technology
_Computer Engineering 2021 - 2025
TECHNICAL SKILLS
Programming languages: C, C++, Python.
Microcontrollers: Arduino, Esp32, Esp32 idf, STM32.
Framework: Tensorflow, YOLO, OpenCV.
Protocols communication: UART, SPI, I2C, TCP/IP.
IDE: VScode, ArduinoIDE
PROJECTS
Fingerprint Attendence Manager App
Board: Esp32
Technologies: C++, Firebase.
Protocols communications: TCP/IP, UART.
Sensor: AS608 Actuator: LCD 16x2
Role: Programming 3 function on esp32 such as: enroll new user fingerprint, change and delete user fingerprint. Synchronizing with listening control data from app android and set control data when done the function. Description:
Designed an android application to manage fingerprint attendance for students and lecturers. It supports three user roles: Admin, Student, and Lecturer.
Integrated ESP32 and fingerprint sensor for biometric authentication.
Implemented Firebase Realtime Database to store ID user and synchronize sensor data.
Hand gesture detection using Raspberry Pi
Board: Raspberry Pi 5
Technologies: Python, SVM model, OpenCV.
Role: Collecting given hand gesture samples image, image preprocessing, training model and export model.
Description:
A camera captures real-time hand gesture images
These image are labeled and training with SVM model to recognize specific gestures.
Based on the recognized gesture, corresponding GPIO pins are activated to control external devices.
Mini weather station
Board: ESP32.
Technologies: C++, Firebase, Blynk.
Protocols communicaton: I2C, TCP/IP
Sensor: DHT11 Actuator: LCD 16x2
Description:
Integrated DHT11 sensors for environmental data collection.
These data is stored to Firebase Realtime Database through HTTP rest api.
Display the temperature and humidity values on LCD 16x2 and widget Blynk.